
Developed and enhanced data pipeline orchestration within the omar-gamal99/talabat_bootcamp repository, focusing on Airflow DAG creation, management, and reliability. Built a YAML-driven dynamic DAG generation framework with reusable Python functions and scaffolding to streamline pipeline configuration and maintenance. Introduced a master trigger DAG enabling parallel execution of multiple data extraction workflows, improving efficiency and scalability. Added a test DAG for manual execution and implemented a workflow to trigger downstream processes asynchronously. Addressed reliability through fixes for import case sensitivity, start date parsing, and code hygiene. Demonstrated strong skills in Airflow, Python, and YAML, emphasizing maintainability and robust ETL practices.
May 2025 monthly summary for omar-gamal99/talabat_bootcamp focusing on key features delivered, major bugs fixed, overall impact, and technologies demonstrated. Emphasis on business value, pipeline reliability, parallel execution, and maintainability.
May 2025 monthly summary for omar-gamal99/talabat_bootcamp focusing on key features delivered, major bugs fixed, overall impact, and technologies demonstrated. Emphasis on business value, pipeline reliability, parallel execution, and maintainability.

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